Our research focuses on probabilistic machine learning and computational
biology. Our current research topics include a variety of topics, such
- Deep generative modeling
- Deep learning for continuous-time dynamical systems
- Longitudinal data analysis in biomedicine
- High-throughout bioinformatics
- Applications in molecular biology / personalized medicine / digital health
On application side, we collaborate with national and international
research groups in molecular biology and personalized medicine.
More information will be added soon.